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dc.contributorRoxburgh, Heather-
dc.contributor.otherNERC - Natural Environment Research Councilen_GB
dc.contributor.otherRoyal Geographical Society (with IGB)en_GB
dc.coverage.spatialBlantyre, Malawien_GB
dc.creatorRoxburgh, Heather-
dc.creatorMagombo, Caron-
dc.creatorKaliwo, Tamandani-
dc.creatorTilley, Elizabeth A-
dc.creatorOliver, David O-
dc.creatorQuilliam, Richard S-
dc.description.abstractMenstrual waste is a socio-culturally sensitive material that is usually concealed from public view, and therefore its interactions with urban sanitation and waste management infrastructure are hidden. This dataset was produced from a questionnaire survey with 258 women in Blantyre, Malawi, and contains information on the menstrual absorbents used at their last period, how they disposed of them, socio-economic characteristics, and toilet and solid waste services.en_GB
dc.description.tableofcontentsExcel file containing dataset and category coding labelsen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciences.en_GB
dc.relationRoxburgh, H; Magombo, C; Kaliwo, T; Tilley, EA; Oliver, DO; Quilliam, RS (2020): Menstrual waste generation and management in urban Malawi. University of Stirling. Faculty of Natural Sciences. Dataset.
dc.rightsRights covered by the standard CC-BY 4.0 licence:
dc.subjectFaecal sludge managementen_GB
dc.subjectSolid waste managementen_GB
dc.subject.classification::Environmental engineering::Waste Management::Waste Managementen_GB
dc.subject.classification::Development studies::Area And Development Studiesen_GB
dc.titleMenstrual waste generation and management in urban Malawien_GB
dc.identifier.projectidNE/L002590/1 (NERC)en_GB
dc.identifier.projectidSLAW05/19 (RGS with IGB)en_GB
dc.contributor.affiliationUniversity of Stirling (Biological and Environmental Sciences)en_GB
dc.contributor.affiliationThe Polytechnic, University of Malawien_GB
dc.contributor.affiliationSwiss Federal Institute of Aquatic Science and Technology (EAWAG)en_GB
dc.contributor.affiliationDurham Universityen_GB
dc.description.accessIn this dataset, age is collapsed into a categorical variable. A copy of the dataset with age as a continuous variable can be requested by emailing the dataset creator with an explanation of why it is needed and what it will be used for.en_GB
Appears in Collections:University of Stirling Research Data

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